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887 results for “relaxation”
Surface electrocardiogram (ECG) dataset recorded during relaxation in 70 healthy subjects
<p><strong>Study Sample and Ethics Statement</strong></p> <p>The sample consisted of 71 university students, average age 20.38 years (<em>SD</em> = 2.96), 78.8% female. Subjects with previous cardio-vascular disorders and irregular ECG were excluded. The study has been approved by the Institutional Review Board of the Department of Psychology, University of Belgrade No. 2018-19. All participants signed Informed Consents in accordance with the Declaration of Helsinki.</p> <p>In the course of visual examination, it was decided to discard ECG from one subject due to the presence of bigeminial arythmia, so further analysis was performed on 70 subjects instead of 71.</p> <p><strong>Measurement Setup</strong></p> <p>BIOPAC sensors (Biopac Systems Inc., Camino Goleta, CA, USA) were used for recording biosignals in another study (<a href="http://empirijskaistrazivanja.org/wp-content/uploads/2021/04/EIP2020_conf_proceedings.pdf#page=17">Bjegojević et al., 2020</a>). Here, we used only ECG signals recorded in sitting relaxed position from standard bipolar Lead I using the BIOPAC MP150 unit with AcqKnowledge software and ECG 100C module with surface H135SG Ag/AgCl electrodes (Kendall/Covidien, Dublin, Ireland). In order to decrease skin-electrode impedance, the skin was cleaned with Nuprep gel (Weaver & Co., Aurora, USA) to reduce skin-electrode impedance. The sampling frequency was set at 2000 Hz and the gain was set to 1000.</p> <p>ECG signals were recorded during relaxation in a sitting position and data were recorded during 2 min long intervals. More information is available in the article [<a href="https://onlinelibrary.wiley.com/doi/10.1111/anec.12919">1</a>].</p> <p><strong>Dataset, Code, and Feature Extraction Instructions</strong></p> <ol> <li><a href="https://zenodo.org/record/5736849/files/analysisECG.R?download=1">analysisECG.R</a>, function with analysis procedures written in <a href="https://www.r-project.org/">R programming language</a></li> <li><a href="https://zenodo.org/record/5736849/files/anec12919-sup-0001-supinfo.pdf?download=1">anec12919-sup-0001-supinfo.pdf</a>, detailed ECG processing and feature extraction procedure (also available as <a href="https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2Fanec.12919&file=anec12919-sup-0001-Supinfo.docx">supplementary material</a> for article [<a href="https://onlinelibrary.wiley.com/doi/10.1111/anec.12919">1</a>])</li> <li><a href="https://zenodo.org/record/5736849/files/ecg_70.txt?download=1">ecg_70.txt</a>, .txt data file, text format</li> <li><a href="https://zenodo.org/record/5736849/files/mainECG.R?download=1">mainECG.R</a>, a main program written in R programming language</li> <li><a href="https://zenodo.org/record/5736849/files/R-studio-version-info.txt?download=1">R-studio-version-info.txt</a>, the version of <a href="https://www.rstudio.com/">R Studio</a> where the code was tested</li> <li><a href="https://zenodo.org/record/5736849/files/R-version-info.txt?download=1">R-version-info.txt</a><a href="https://zenodo.org/api/files/aa8d999e-1b08-44b5-883f-0540afe8feb8/R-version-info.txt"> </a>, the version of R programming language where the code was tested</li> </ol> <p>For ECG-based feature extraction, we used the following R packages:</p> <ol> <li><strong>signal</strong> - Signal Processing Functions (signal developers (2014). <em>signal: Signal processing</em>. <a href="http://r-forge.r-project.org/projects/signal/">http://r-forge.r-project.org/projects/signal/</a>)</li> <li><strong>pracma</strong> - Practical Numerical Math Functions ( Borchers, H. W. (2019). <em>Package ‘pracma’: Practical numerical math functions</em>. R package version, 2(1). <a href="https://CRAN.R-project.org/package=pracma">https://CRAN.R-project.org/package=pracma</a>)</li> </ol> <p>Please, note that the results of personality trait tests are not available in the current dataset. We are planning to open them in our future research. For more information and planned availability in open access, please, contact the corresponding author of [<a href="https://onlinelibrary.wiley.com/doi/10.1111/anec.12919">1</a>] by e-mail (<a href="mailto:nadica.miljkovic@etf.bg.ac.rs">nadica.miljkovic@etf.bg.ac.rs</a>).</p> <p><strong>Citing Instruction</strong></p> <p>If you find these signals and code useful for your own research or teaching class, please cite relevant dataset and supporting publications:</p> <ol> <li> <p>Boljanić, T., Miljković, N., Lazarević, L. B., Knežević, G., & Milašinović, G. (2021). Relationship between electrocardiogram-based features and personality traits: Machine learning approach. <em>Annals of Noninvasive Electrocardiology</em>, 00, e12919. <a href="https://doi.org/10.1111/anec.12919">https://doi.org/10.1111/anec.12919</a></p> </li> <li> <p>Bjegojević, B., Milosavljević, N., Dubljević, O., Purić, D., & Knežević, G. (2020). <a href="http://empirijskaistrazivanja.org/wp-content/uploads/2021/04/EIP2020_conf_proceedings.pdf#page=17">In pursuit of objectivity: Physiological measures as a means of emotion induction procedure validation</a>. <em>XXIVI Scientific Conference on Empirical Studies in Psychology</em>, p. 17-19.</p> </li> <li> <p>Boljanić, T., Miljković, N., Lazarević B. Lj., Knežević, G., & Milašinović, G. (2021). Surface electrocardiogram (ECG) dataset recorded during relaxation in 70 healthy subjects (Version 1) [Data set]. <em>Zenodo</em>. <a href="https://doi.org/10.5281/zenodo.5599239">https://doi.org/10.5281/zenodo.5599239</a></p> </li> </ol>
An estimate of fitness reduction from mutation accumulation in a mammal allows assessment of the consequences of relaxed selection: Dataset
<p>Supplementary files (data and analysis) for "An estimate of fitness reduction from mutation accumulation in a mammal allows assessment of the consequences of relaxed selection"</p> <p>Supplementary File 1: C3H_pheno_fix_Jun7_2023_nolowmut.csv</p> <p>Data for all mice in MA experiment including: mouse ID, sire, dam, generation, mating ID, sex, weight at 3 weeks, weight at 6 weeks, tail length, litter size, litter ID, line ID</p> <p> </p> <p>Supplementary File 2: C3H_pheno_Kontrol_June2023.csv</p> <p>Data for all control mice including: mouse ID, sire, dam, generation, mating ID, sex, weight at 3 weeks, weight at 6 weeks, tail length, litter size, litter ID, line ID</p> <p> </p> <p>Supplementary File 3: C3H_birthdates.csv</p> <p>Data for all C3H mice including: mouse ID, birthdate</p> <p> </p> <p>Supplementary File 4: MA_pheno.R</p> <p>R code for visualising trait data, running linear regressions, and comparing control and MA experiment data</p> <p> </p> <p>Supplementary File 5: C3H_pheno_burnin20_Jun7_2023_nolowmut.csv</p> <p>Data for all mice in MA experiment including a 20 generation burn-in to simulate mutation-drift balance for Animal model analyses: mouse ID, sire, dam, generation, mating ID, sex, weight at 3 weeks, weight at 6 weeks, tail length, litter size, litter ID, line ID</p> <p> </p> <p>Supplementary File 6: asreml_C3H_ALL.R</p> <p>R code for estimating mutational heritabilities using mixed model analysis</p> <p> </p> <p>Supplementary File 7: C3H_ped_rekey_Jun2023.csv</p> <p>Pedigree data for all mice in MA experiment</p> <p> </p> <p>Supplementary File 8: C3H_ped_rekey_KEY.csv</p> <p>Key for pedigree data file</p> <p> </p> <p>Supplementary File 9: plot_pedigree_tree_MS_final.R</p> <p>R code for visualising pedigree of mice in MA experiment</p>
Probing Aqueous Ions with Non-local Auger Relaxation - data
<p>Data set pertaining to the article "Probing aqueous ions with non-local Auger relaxation" | Physical Chemistry Chemical Physics, <strong>24</strong>, 8661-8671 (2022). doi: <a href="http://dx.doi.org/10.1039/D2CP00227B">10.1039/D2CP00227B</a>.</p> <p>Files with extension .h5 are hdf5-files structured according to the NeXus standard v2022.06, see<br> https://www.nexusformat.org/<br> https://fairmat-experimental.github.io/nexus-fairmat-proposal/50433d9039b3f33299bab338998acb5335cd8951/mpes-structure.html<br> NeXus data files can be opened with any software capable of opening hdf5-files. The following viewers are adapted to the specifics of the NeXus data format:<br> * nexpy (distributed with python)<br> * https://h5web.panosc.eu/h5wasm (web-based NeXus viewer maintained by the European Photon and Neutron Open Science Cloud-consortium)</p> <p>In each NeXus file-entry, two types of spectra are shown:<br> 1. Sweep-averaged spectra integrated over the non-dispersive coordinate of our detector ('data').<br> 2. As-measured data ('raw').</p> <p><br> The following files are provided:</p> <p>Photoemission data pertaining to ICD measurements, and to 1s spectra shown in Supplementary Fig. S2 (Na, Al):<br> ICD_data.na.h5<br> ICD_data.mg.h5<br> ICD_data.al.h5<br> Photon energy corrections are applied as explained in the article and Supplementary Material, kinetic energy correction is applied to the dataset 'data'.</p> <p>Calibration data:<br> calibration_data.p04.h5 : Mostly photon energy calibration for ICD spectra.<br> calibration_data.bessy.mg.h5 : Spectra measured at BESSY for MgCl2 Mg 1s binding energy calibration.<br> calibration_data.bessy.al.h5 : Spectra measured at BESSY for AlCl3 Al 1s binding energy calibration.<br> calibration_data.p04.add.h5 : Additional spectra for cross-checking binding energy calibration, measured at DESY P04.<br> All calibration spectra are included as-measured. A binding energy axis, shown for some spectra, is derived as implied from the uncalibrated photon and kinetic energies.</p> <p> </p> <p>Contact: Uwe Hergenhahn, uhe@fhi.mpg.de .</p> <p>v2 release notes<br> A number of minor errors in the metadata and .hdf5-structure of the v1 dataset were corrected. The data themselves are unaffected.<br> * Names of NXdata-groups now agree to NXmpes naming-convention,<br> * incorrect value of photon energy correction of Al ICD data fixed (ICD_data.al.h5),<br> * proposal numbers added to metadata,<br> * measurements on pure water solution designated as calibration.</p>
Synchrotron Diffraction During Stress Relaxation in CP Ti (grade 4)
<p>These data support the associated paper:</p> <p><strong>Cold Creep of Titanium: Analysis of stress relaxation using synchrotron diffraction and crystal plasticity simulations</strong><br> Yi Xiong, Phani Karamched, Chi-Toan Nguyen, David M Collins, Christopher M Magazzeni, Edmund Tarleton, Angus J Wilkinson<br> Acta Materialia (2020) vol. 199, 561-577<br> <a href="https://doi.org/10.1016/j.actamat.2020.08.010">https://doi.org/10.1016/j.actamat.2020.08.010</a></p> <p>The Authors' Accepted Manuscript version of the paper is available open access on arXiv:<br> <a href="https://arxiv.org/ftp/arxiv/papers/2003/2003.01682.pdf">https://arxiv.org/ftp/arxiv/papers/2003/2003.01682.pdf</a></p> <p> </p> <p>This dataset arises from an in situ stress relaxation experiment on commercially pure (grade 4) Ti undertaken at the Diamond Light Source, beamline ID12, as part of experiment EE17222. The sample was loaded to just beyond the yield point, and then held at constant strain for 5 minutes over which time the stress relaxed. The sample was then reloaded elastically and a further period of stress relaxation at fixed total strain undertaken. in total five periods of stress relaxation were imposed.</p> <p>Throughout the mechanical testing cycle powder diffraction patterns were recorded in the transmission geometry, at 1 second intervals using a 2d Pixium detector held 1097 mm from the sample. The beam energy was determined to be 79.79 keV. </p> <ul> <li>Diffraction Patterns are contained as 16 bit TIF files bundled into the Patterns_72995.zip file.</li> <li>Macroscopic mechanical test data are in the excel file MechTest_2995.xlsx.</li> <li>Small EBSD map in #.ctf format converted from Bruker #bcf file in CPg4.ctf file.</li> <li>Matlab + MTEX script to load and make simple plots from EBSD data file in CPg4Ti_EBSDmap.m file.</li> </ul> <p> </p> <p>Details of the MTEX orientation analysis package from Matlab can be found and freely downloaded at:<br> <a href="https://mtex-toolbox.github.io/">https://mtex-toolbox.github.io/</a></p> <p> </p> <p> </p>
Relaxation anisotropy of quantitative MRI parameters in biological tissues
<p>Dataset for the manuscript "Relaxation anisotropy of quantitative MRI parameters in biological tissues" published in Scientific Reports 2022</p>
Data for the article "Mechanically induced correlated errors on superconducting qubits with relaxation times exceeding 0.4 milliseconds"
<p>Here you will find all the raw data and data processing scripts for the plots presented in the article "Mechanically induced correlated errors on superconducting qubits with relaxation times exceeding 0.4 milliseconds."</p>
Primary data: Signal enhancement of hyperpolarized 15N sites in solution — increase in solid-state polarization at 3.35 T and prolongation of relaxation in deuterated water mixtures
<p>Primary data for DOI: 10.1002/nbm.4787</p> <p>NMR in Biomedicine. 2022;e4787</p> <p>Title: Signal enhancement of hyperpolarized 15N sites in solution—increase in solid-state polarization at 3.35 T and prolongation of relaxation in deuterated water mixtures</p> <p>Authors: Ayelet Gamliel, David Shaul, J. Moshe Gomori, Rachel Katz-Brull</p> <p>Description:</p> <p>These primary datasets contain data presented in the above publication and consist of:</p> <p>1. 15N-NMR spectra in solutions</p> <p>2. 13C polarization buildup data in solid-state</p> <p>3. 13C microwave profiles in solid state</p> <p>Please consult the Archive Guide.</p>
Th:LiCAF DFT Relaxations
<p>This dataset was generated with VASP and contains OUTCAR files for 1625 relaxations. The paper for this work was published in <a href="https://doi.org/10.1002/adts.202200185">Adv. Theory Simul. (2022)</a>.</p> <p>Relaxations in the folder "not_converged" did not reach the convergence criterion for ionic forces.</p> <p>Not all relaxations were generated with the same INCAR file, but all differences should be irrelevant for the simulation outcome. Specifically, the number of cores which work on an individual orbital (NCORE) and the total number of (empty) bands (NBANDS) are not equal in all relaxations.</p>
Brownian Relaxation Shakes and Breaks Magnetic Iron Oxide-Polymer Nanocomposites to Release Cargo
<p>Original data supporting the findings of the manuscript and supplementary materials sorted after Figures and their respective panels.</p>
Source data for manuscript "Real-time microscopy of the relaxation of a glass".
<p>Source data for manuscript "Real-time microscopy of the relaxation of a glass" (DOI: 10.1038/s41567-023-02125-0), including:</p> <p>- AFM source images</p> <p>- data points for all plots in the manuscript</p>
Relaxation of purifying selection suggests low effective population size in eusocial Hymenoptera and solitary pollinating bees
<p>Data and results of the paper "Relaxation of purifying selection suggests low effective population size in eusocial Hymenoptera and solitary pollinating bees".</p> <p>- data_table_species.csv: contains life-history and geographical range descriptors, terminal branch length and genomic estimated values for each substitution category, for each species in the dataset. Contains results obtained with both the complete data set and the subsampled dataset with 88 species.</p> <p>- data_table_genes.csv: contains values of substitution count that are sums of the values obtained for every species in the alignment. Also contains the results of HyPhy RELAX analyses for each alignment.</p> <p>- data_table_genes_species.csv: contains estimated values for each substitution category for each species in each alignment. Contains results obtained with both the complete data set and the subsampled dataset with 88 species.</p> <p> </p>
Figure 3 in Intense inhabitation and relaxed host-leaf preference of aquatic chironomid leaf-miners in headwater streams in Asian lucidophyllous forests
Figure 3. Frequency distributions of unmined (open) and mined (solid) leaves among representative plant species. (Cs, Castanopsis sieboldii; Qg, Quercus glauca; Qm, Quercus miyagii; Mj, Machilus japonica; Mt, Machilus thunbergii; Mr, Myrica rubra; Ot, others.)
Figure 2 in Intense inhabitation and relaxed host-leaf preference of aquatic chironomid leaf-miners in headwater streams in Asian lucidophyllous forests
Figure 2. Habitats and leaf-mining habits of Stenochironomus okialbus. (A–B) headwater streams at S4 and S9; (C) submerged litter at S9; (D–F) leaf-mines; (G) a larva undulating in a mine; (H) a pupa; (I) head of a mining larva; (J–K) a female and a male adult midge. Plant species of the leaves: C, D, G, I: Castanopsis sieboldii; E, H: Dendropanax trifidus; E: Myrica rubra.
Orientation anisotropy of quantitative MRI relaxation parameters in ordered tissue
<p>This dataset contains all the raw source data and MATLAB analysis functions that comprise the study:</p> <p><br> <strong>Orientation anisotropy of quantitative MRI relaxation parameters in ordered tissue</strong></p> <p>Scientific Reports | DOI:10.1038/s41598-017-10053-2</p> <p>Hänninen Nina(1,2), Rautiainen Jari(1), Rieppo Lassi(2,3), Saarakkala Simo(2,3,4) and Nissi Mikko Johannes(1*)</p> <ol> <li>Department of Applied Physics, University of Eastern Finland, POB 1627, FI-70211 Kuopio, Finland</li> <li>Research Unit of Medical Imaging, Physics and Technology, University of Oulu, POB 5000, FI-90014 Oulu, Finland</li> <li>Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland</li> <li>Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland</li> </ol> <p> </p> <p>*Corresponding author:<br> Mikko J. Nissi<br> Department of Applied Physics,<br> University of Eastern Finland<br> POB 1627<br> FI-70211, Kuopio, Finland<br> mikko.nissi@uef.fi<br> +358-50-5955517</p> <p><br> Keywords: relaxation anisotropy, orientation, cartilage, MRI, quantitative</p> <p> </p> <p><br> Included folders and files are:</p> <ul> <li>article_figures: all figures published in the manuscript</li> <li>data: MRI measurement data and pre-processed PLM measurement data</li> <li>matlab_functions: matlab functions used in data analysis with subfolders: <ul> <li>aedes_plugins: plugins for aedes (http://aedes.uef.fi) for calculation of relaxation time maps</li> <li>fitting_functions: miscellaneous functions for fitting relaxation times etc, used by the functions in above folder</li> <li>miscellaneous_functions: small helper functions for a number of small tasks utilized by the other scripts and functions</li> </ul> </li> <li>plm_new_data: histological data measured by quantitative polarized light microscopy.</li> <li>sample_holder_3D_model: .stl files for the 3-D printable sample-holder which allows rotation of the specimen</li> <li>carbon_data_collector_ROT_for_publication.m: master data collection and analysis script that reads in all the data and performs all the calculations to produce the images of the study. This function relies on all the matlab-functions in the subfolder (i.e. the subfolders need to be indexable by matlab) and Aedes analysis software (http://aedes.uef.fi) and matlab R2013b or later.</li> <li>README.txt: this file</li> </ul> <p><br> Notes for setting up Aedes correctly for this dataset:<br> Run Aedes -> Tools -> Edit VNMR Defaults:</p> <ul> <li>Return: FT + K-space</li> <li>DC: off</li> <li>Zeropadding: off</li> <li>Sorting & fastread: on</li> <li>Precision: single</li> <li>Read_fcn: readfid (old)</li> <li>Orient: no</li> </ul> <p>See more info in separate readme files included in each folder.</p> <p><br> (Mikko Nissi, Aug 15, 2017)</p> <p> </p>
Creep and stress relaxation data for a martensitic steel at 500°C
<p>The files here uploaded describe the results of creep and stress relaxation tests performed on a martensitic steel at 500 °C. Data are provided both as .txt files and as excel files.</p> <p>Tests were performed on cylindrical sample, with a gauge length of 28 mm and diameter 5.6 mm</p> <p>Four creep tests were performed under 210, 230, 250 and 270 MPa stresses and stopped after 1% creep strain. Then they were unloaded and the anelastic contraction was recorded. Data are given in the form of creep strain vs. time.</p> <p>Two repeated stress relaxation tests were performed, with initial stresses of 270 MPa and 300 MPa. Samples were re-loaded and subsequently relaxed for a few times. In the 270 MPa test, before relaxation the sample was crept for a 0.1% strain.</p> <p>These data were used for a paper published on Metals.</p> <p> </p> <p> </p>
Phase response analyses support a relaxation oscillator model of locomotor rhythm generation in Caenorhabditis elegans
<p>This dataset contains all data and codes that are used in the manuscript entitled "Phase response analyses support a relaxation oscillator model of locomotor rhythm generation in <em>Caenorhabditis elegans</em>".</p> <p>The data include raw videos and intermediate data for optogenetic experiments of all strains, experimental conditions (illumination duration, illuminated region, fluid viscosity and date). Within the parent folder 'Videos', each subfolder represents data of a group of experiments using the same strain under the same condition, as indicated explicitly by the subfolder name. Within each subfolder, there are raw videos of freely moving worms perturbed by transient optogenetic perturbations and intermediate data which include locomotory information and the corresponding figure plots (kymographs) that were generated by analysing the raw videos with the image analysis software (also in the dataset)</p> <p>The codes include scripts for image data analysis and model simulations. The image data analysis codes include scripts specifically for generating phase portrait graphs, phase response curves, head oscillation stability plots, phase isochron map and vector field. The model simulation codes include scripts for model oscillators implementation, paramter estimation/optimization and simulations of optogenetic inhibition.</p>
Relaxation in supercooled liquids: Cooperatively Re–arranging Regions vs Excitations
<p>Data for the paper: Relaxation in supercooled liquids: Cooperatively<br> Re–arranging Regions vs Excitations</p> <p>The equilibrated coordinates of deeply supercooled liquids from which all further analysis is run are provided. Furthermore, the code for identification of excitations with one example file and result and the code for identifying strings are uploaded. </p> <p>The folder 'Experiments' contains the linked coordinates tracked from STED and confocal images.</p>
Relaxed feeding constraints facilitate the evolution of mouthbrooding in Neotropical cichlids
<p>Multifunctionality is often framed as a core constraint of phenotypic evolution. Mouthbrooding, a form of parental care where offspring develop inside a parent's mouth, increases multifunctionality by adding a major function (reproduction) to a structure already serving other vital functions (feeding and respiration). Despite increasing multifunctionality, mouthbrooding has evolved repeatedly from other forms of parental care in at least 7 fish families. We hypothesized that mouthbrooding is more likely to evolve in lineages with feeding adaptations that are already advantageous for mouthbrooding. We tested this hypothesis in Neotropical cichlids, where mouthbrooding has evolved 4–5 times, largely within winnowing clades, providing several pairwise comparisons between substrate brooding and mouthbrooding sister taxa. We found that the mouthbrooding transition rate was 15 times higher in winnowing than in non-winnowing clades, and that mouthbrooders and winnowers overlapped substantially in their buccal cavity morphologies, which is where offspring are incubated. Species that exhibit one or both of these behaviors had larger, more curved buccal cavities, while species that exhibit neither behavior had narrow, cylindrical buccal cavities. Given the results we present here, we propose a new model for the evolution of mouthbrooding, integrating the roles of multifunctional morphology and the environment.</p>
Data set for "Relaxation time asymmetry in stator dynamics of the bacterial flagellar motor"
<p>Zipped file containing three python Dictionaries pertaining to the Science Advances publication "Relaxation time asymmetry in stator dynamics of the bacterial flagellar motor," authored by Ruben Perez-Carrasco, María-José Franco-Oñate, Jean-Charles Walter, Jérôme Dorignac, Fred Geniet, John Palmeri, Andrea Parmeggiani, Nils-Ole Walliser, and Ashley L Nord.</p>
Revisiting the single-saddle model of the β-relaxation of supercooled liquids
<p>This dataset is associated with "<em>Revisiting the single-saddle model of the β-relaxation of supercooled liquids</em>", by D. Coslovich and A. Ikeda. It includes data and workflow to allow for the replication of the analysis and plots of the manuscript.</p> <p>To reproduce the workflow on a minimal dataset, download and extract the package ssm.tar.gz, then execute</p> <pre><code class="language-bash">./make test</code></pre> <p>If the workflow fails because of missing dependencies, download the <a href="http://www.docker.com">docker</a> image ssm-docker.tar.gz, load the image and execute the same command within the container.</p> <p>Make sure you have at least 5 Gb of free space on your disk if you use the package, and 15 Gb if you use the docker image.</p> <p>See project.pdf below for full details about the workflow.</p> <p><strong>Changelog</strong>:</p> <ul> <li>1.0.1: logger fails quietly if bc is missing, add Dockerfile to package</li> <li>1.0.0: initial submission</li> </ul>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.